Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Yunhui, Zheng"'
Publikováno v:
Journal of Imaging, Vol 10, Iss 9, p 206 (2024)
Due to the excellent results achieved by transformers in computer vision, more and more scholars have introduced transformers into the field of medical image segmentation. However, the use of transformers will make the model’s parameters very large
Externí odkaz:
https://doaj.org/article/612e327dd8b34ad0b622058fead36bb2
Autor:
Changjun Li, Yizhou Zhuang, Yuquan Lu, Guoping Zheng, Yunhui Zheng, Wenhao Li, Chenbo Xue, Hongyu Guo, Yuchao Fang
Publikováno v:
Buildings, Vol 14, Iss 8, p 2571 (2024)
The steel rib and the lattice girder are two typical steel arch frames used in the primary lining of the New Austrian Tunnelling Method (NATM) highway tunnel. In the process of tunnel construction, it is necessary to choose the support method accordi
Externí odkaz:
https://doaj.org/article/84855fd186dc4f858071c5f00e27f8bb
Publikováno v:
ACM Transactions on Software Engineering and Methodology.
AI models of code have made significant progress over the last few years. However, many models are actually not learning task-relevant source code features. Instead, they often fit non-relevant but correlated data, leading to a lack of robustness and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a41112d1478cef1eb5e1ce625c663ec8
https://doi.org/10.1145/3597202
https://doi.org/10.1145/3597202
Publikováno v:
ACM Transactions on Software Engineering & Methodology; Nov2023, Vol. 32 Issue 6, p1-40, 40p
Autor:
Saurabh Pujar, Yunhui Zheng, Luca Buratti, Burn Lewis, Alessandro Morari, Jim Laredo, Kevin Postlethwait, Christoph Görn
Publikováno v:
Proceedings of the 19th International Conference on Mining Software Repositories.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c2804021d550fb905f97454c27ab0d1
https://doi.org/10.1145/3524842.3528516
https://doi.org/10.1145/3524842.3528516
Publikováno v:
Proceedings of the 44th International Conference on Software Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bea499424ce1398162c79299c02fec32
https://doi.org/10.1145/3510003.3510139
https://doi.org/10.1145/3510003.3510139
Publikováno v:
Disease markers. 2022
Background. General anesthesia (GA) is the core means of surgical intervention, mainly used for analgesia and anxiety relief. Therefore, it is necessary to understand the laboratory and clinical research results during induction of GA. Penehyclidine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::013a8fbdf06cfb1e0d7d1480b780f91d
https://pubmed.ncbi.nlm.nih.gov/35769814
https://pubmed.ncbi.nlm.nih.gov/35769814
Publikováno v:
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4b37ef492004839f709cc31684dadd8
https://doi.org/10.1109/ase51524.2021.9678912
https://doi.org/10.1109/ase51524.2021.9678912
Publikováno v:
SoCC
Cloud maturity and popularity have resulted in Open source software (OSS) proliferation. And, in turn, managing OSS code quality has become critical in ensuring sustainable Cloud growth. On this front, AI modeling has gained popularity in source code
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::614f288526cc4100493704501f104367
https://doi.org/10.1145/3472883.3486995
https://doi.org/10.1145/3472883.3486995
Autor:
Zhong Su, Saurabh Pujar, Alessandro Morari, Bo Yang, Jim A. Laredo, Luca Buratti, Burn L. Lewis, Edward A. Epstein, Yunhui Zheng
Publikováno v:
ICSE (SEIP)
Static analysis tools are widely used for vulnerability detection as they understand programs with complex behavior and millions of lines of code. Despite their popularity, static analysis tools are known to generate an excess of false positives. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57343c53438762cb4a893bdedc9db597
https://doi.org/10.1109/icse-seip52600.2021.00020
https://doi.org/10.1109/icse-seip52600.2021.00020